code: def test_load_dataset_test():
      loader = load_dataset(train=True, object_type="Dataset")
      assert_that(loader, instance_of(tf.data.Dataset))
      assert_that((COCO_DIR / "coco128" / "images").exists())
      assert_that((COCO_DIR / "coco128" / "labels").exists())
  
file_path: deepchecks/tests/vision/datasets/test_coco_tensorflow.py
imports: import tensorflow
  from hamcrest import assert_that, calling, equal_to, instance_of, is_not, raises
  from deepchecks.vision import VisionData
  from deepchecks.vision.datasets.detection.coco_tensorflow import load_dataset
  from deepchecks.vision.datasets.detection.coco_utils import COCO_DIR
  from deepchecks.vision.vision_data.batch_wrapper import BatchWrapper
label_desc: Use image node_id 1 for calling a global function with example usage: test_load_dataset_test() without return types